eprintid: 9660
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/96/60
datestamp: 2023-11-09 16:36:18
lastmod: 2023-11-09 16:36:18
status_changed: 2023-11-09 16:29:31
type: conference_item
metadata_visibility: show
creators_name: Porwal, P.
creators_name: Pachade, S.
creators_name: Kadethankar, A.
creators_name: Joshi, A.
creators_name: Patwardhan, V.
creators_name: Kamble, R.
creators_name: Kokare, M.
creators_name: Meriaudeau, F.
title: Automatic Segmentation of Optic Disc by Gradient Minimization Based Approach
ispublished: pub
keywords: Eye protection; Image segmentation; Ophthalmology, Automatic segmentations; Diabetic retinopathy; Gradient based; Intensity profiles; L0 gradient minimizations; Optic disc; Optic disc detections; Region of interest, Diagnosis
note: cited By 9; Conference of 7th International Conference on Intelligent and Advanced System, ICIAS 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:143005
abstract: Diabetic Retinopathy (DR) and Glaucoma are the eye diseases that cause progressive damage to patient's vision over time. Optic disc detection and segmentation is of significant importance for automating the screening of both diseases. The method proposed for the precise and fast segmentation of the optic disc mainly based obtaining optic disc center location using intensity profile analysis and further segmentation of chosen region of interest using L0 gradient minimization based technique. The optimum threshold was chosen for OD segmentation using Otsu's method. Performance of the technique is evaluated using Dice and Jaccard metrics that are obtained as 80.23 and 71.17 78.46 and 82.63 respectively on IDRiD and the MESSIDOR dataset. The proposed method is found to be very fast and efficient. © 2018 IEEE.
date: 2018
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059756777&doi=10.1109%2fICIAS.2018.8540587&partnerID=40&md5=26afdfbb97df673a8bc31ffa20ade09f
id_number: 10.1109/ICIAS.2018.8540587
full_text_status: none
publication: International Conference on Intelligent and Advanced System, ICIAS 2018
refereed: TRUE
isbn: 9781538672693
citation:   Porwal, P. and Pachade, S. and Kadethankar, A. and Joshi, A. and Patwardhan, V. and Kamble, R. and Kokare, M. and Meriaudeau, F.  (2018) Automatic Segmentation of Optic Disc by Gradient Minimization Based Approach.  In: UNSPECIFIED.